Here’s a recap:
Your files carry a history you cannot see.
When the client revisions are finished, it is natural to click "accept all changes," call the document final, and send it. But “final” is not the same as “clean.” Accepting the changes resolves the tracked edits. That’s all. What stays behind is everything the editing never touched: the author and company names in the file properties, the template name (which can quietly carry a former client's name into a new client's file), the file name, hidden text, leftover comments, and the headers and footers.
One writer learned this when a previous client's contact details, sitting in a page-two header, turned up in a recruiter's applicant tracking system.
The fix is a habit, not a purchase.
On Windows, Word's Document Inspector (File → Info → Check for Issues → Inspect Document) removes much of this, but it deletes items without showing you what they were, and it is more limited on Mac.
My webinar discussed DocxCheck, a tool that I created to address this problem. Drop in a document, and it shows you every tracked change, comment, hidden line, and property in seconds, so you see what is there before sending it. It runs entirely in your browser, so the file never leaves your computer.
It is free to use here.
Your tools may do more than you expect.
Many consumer AI tools use what you paste to improve the model or service unless you turn that setting off. But it is rarely off by default. Some AI meeting assistants go further: their published policies let them retain audio and video, analyze participants' faces, or infer details about the people on the call. Before client data enters any tool, ask three questions:
1. Does it retain my inputs?
2. Does it use them for model or service improvement, and can I opt out?
3. Does the answer change by plan, tier, or account?
If you cannot answer these clearly, the tool is not ready for client data.
This is a trust advantage.
I am not arguing against AI. I use it every day—just deliberately rather than by reflex. A writer who can tell a client, "I know what happens to your information in my workflow, and I have made deliberate choices to protect it," offers something many competitors cannot. In a profession built on confidentiality, that certainty is part of what clients are paying for.
The full webinar in the NRWA member library also covers breach-notification duties and when GDPR or US state privacy laws can apply to your practice.
Ingmar is an NRWA member and the founder of Tailored AI Services, where he builds privacy-first AI tools for professional resume writers. He presented "AI Security Pitfalls for Resume Writers" on June 5. Check it out on the On-Demand Webinars page.
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